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EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs
Pierre Elias, Joshua Finer
EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.
clinical decision support
artificial intelligence
digital health
structural heart disease
electrocardiogram
health equity
ecg
heart failure
transthoracic echocardiogram
ai model deployment
valvular heart disease
cardiovascular screening
ai in healthcare
left ventricular dysfunction
deep learning
population health
aortic stenosis
machine learning
Published: April 30, 2026.
Version: 1.1.1
Maintained by the MIT Laboratory for Computational Physiology
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Heart Lung and Blood Institute (NHLBI), and NIH Office of the Director under NIH grant numbers U24EB037545 and R01EB030362
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